Testing Power BI in the Age of AI: A session on Semantic Link Labs

AI tooling in Fabric and Power BI is making it much faster to spin up reports and semantic models. Copilot, Data Agents, MCP servers are all great for productivity, but tough for quality control. Manual validation struggles to keep pace, and broken visuals, bloated models, and drift from best practice slip through when content is produced faster than humans can review it.

Which is why our next Wellington Power BI & Fabric User Group session is on Semantic Link Labs (SLL) — the Python library built to solve this problem.

We've got Ned Charles joining us from Portland for the session. Ned is a Microsoft MVP specialising in Power BI and SQL, and runs the YouTube channel Drop Materialized View, where he focuses on developer-first approaches to Microsoft Fabric, Power BI, Python integration, and semantic models.

He'll cover:
- A demo of some of the key testing functions in Semantic Link Labs: model BPA, report BPA, Vertipaq Analyzer, and broken visual detection
- Patterns for folding SLL into real-world testing and release workflows
45 minutes of content, 15 minutes for Q&A.